Data mining is at the core of the knowledge discovery process. However, an initial preprocessing step is crucial for assuring reliable results within this process. Preprocessing of data is a time-consuming and non-trivial task since data quality issues should be…

Using COTS software promises faster time-to-market, which can yield substantial advantages over competitors with regards to earlier placement of a new product on a market. At the same time, component-based software introduces risks, such as unknown quality properties of the…

AbstractDue to aspect-oriented mechanisms explosion, their concepts arrive to distributed systems tackling concepts as security, persistence, or synchronization, especially in middleware approaches. Regarding distributed databases, the research has been focused mainly on object-oriented databases. Based on the great impact of…

El presente artículo describe un sistema de adquisición de datos para un medidor de deformación. Se presenta el análisis del diseño de la circuitería y la programación, los resultados obtenidos y finalmente algunas conclusiones.

The k nearest neighbor (k-NN) classifier has been extensively used in Pattern Recognition because of its simplicity and its good performance. However, in large datasets applications, the exhaustive k-NN classifier becomes impractical. Therefore, many fast k-NN classifiers have been developed;…

Describes dic nature and development of interbehavioral psychology, with particular reference to its origin, postulation, data, operations, laws, asid implications., Describe la naturaleza y desarrollo de la psicologi’a interconductural, con peticular referencia a su origen, postulación, datos, operaciones, leyes e…

The present experiment attenmpted to evaluate the formation of associations between elements of an odour-flavour compoundpared with a LiCl injection, in rats. The data ob­tained show that the aversion produced to the lacquer thinner odour is greater when this is…

Most search methods in metric spaces assume that the topology of the object collection is reasonably regular. However, there exist nested metric spaces, where objects in the collection can be grouped into clusters or subspaces, in such a way that…

This paper focuses on prediction and prevention of seismic risk through a system for decision making. Data Warehousing and OLAP operations are applied, together with, data mining tools like association rules, decision trees and clustering to predict aspects such as…

The aim of this work was to identify the characteristics of the drug information provided by the Drug Information Center (DIC) of a university hospital. A cross-sectional study was conducted, identifying the profile of information requests (IRs) from January 2008…